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dusya [7]
2 years ago
13

Thomas has 5 quarts of milk. He uses 2 pints of milk to make corn chowder.

Mathematics
2 answers:
Yuri [45]2 years ago
5 0

Answer:

The answer is 4 quarts.

Step-by-step explanation:

2 pints equals 1 quart. So, if you convert the 2 pints into quarts, you get 6 quarts all together. Then, you just subtract 1 quart (the 2 pints) from the 5 quarts and you get 4 quarts! I hope it helps!! <3

If I'm wrong, PLEASE TELL ME!

marin [14]2 years ago
4 0
CORRECT ANSWER: 8 Pints


EXPLANATION:
1) Know that there are 2 pints in 1 Quart
2) Thomas started with 5 quarts
3) 5 quarts = 10 pints
4) 10 pints- 2pints = 8pints
5) 8 Pints of milk are left.
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Answer:

i think the answer is B

Step-by-step explanation:

5=6-1

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3 years ago
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Given the function f(x) = 5(x+4) − 6, solve for the inverse function when x = 19.
meriva

Answer:

5.74

Step-by-step explanation:

fx=5(x+4)-6

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19f=5(23)-6

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f=5.74 or 19 14/19

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2 years ago
Divide 9y power 2 by 3<br><br>divide (8x power 2 +4x ) by 2x​
olchik [2.2K]

Answer:

1=27

2=34

Step-by-step explanation:

1)9y power 2÷3

or, y=9 power 2÷3

or, y=9×9÷3

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or, y=27

2) (8x power 2+4x)÷2

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4 0
3 years ago
The director of admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall sem
wariber [46]

Answer:

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E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

Step-by-step explanation:

Let X the random variable that represent the number of admisions at the universit, and we have this probability distribution given:

X        1060   1400    1620

P(X)     0.5      0.1        0.4

In statistics and probability analysis, the expected value "is calculated by multiplying each of the possible outcomes by the likelihood each outcome will occur and then summing all of those values".

The variance of a random variable Var(X) is the expected value of the squared deviation from the mean of X, E(X).

And the standard deviation of a random variable X is just the square root of the variance.  

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

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2 years ago
Melissa has 350 in her savings account. she decides that she will put the same amount of money each month into her account.Her g
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